Forecasting tourist counts with historical counts and external features

Student report (2020)

Authors

X. Wang Civil Engineering & Geosciences

Contributors

D.C. Duives Transport and Planning - CEG (supervisor 1)
P.K. Krishnakumari Transport and Planning - CEG (supervisor 2)
Faculty
Civil Engineering & Geosciences
Copyright: © 2020 Xinyi Wang
ARIMA Forecasting Pedestrian Multiple linear regression
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Published Date

06-09-2020

Language

English

Reuse Rights

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Faculty

Civil Engineering & Geosciences

Abstract

This research explored two types of models, ARIMA and multiple linear regression, for forecasting tourist counts in 7 locations around Amsterdam red light district, for the prediction horizon of up to 30 minutes.

Files

Forecastreport.pdf
(.pdf | 5.04 Mb)